Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils

Abstract The increasing availability of modern digital soil databases provides an opportunity to integrate these data into land surface models (LSMs), such as Noah‐MP, for a more realistic representation of soil in estimating mass and energy flux at the land‐atmosphere boundary. Noah‐MP uses a defau...

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Main Authors: Yohannes Tadesse Yimam, Haly L. Neely, Cristine L. S. Morgan, Andrea Kishné, Jonathan Gross, David Gochis
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Agrosystems, Geosciences & Environment
Online Access:https://doi.org/10.1002/agg2.70048
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author Yohannes Tadesse Yimam
Haly L. Neely
Cristine L. S. Morgan
Andrea Kishné
Jonathan Gross
David Gochis
author_facet Yohannes Tadesse Yimam
Haly L. Neely
Cristine L. S. Morgan
Andrea Kishné
Jonathan Gross
David Gochis
author_sort Yohannes Tadesse Yimam
collection DOAJ
description Abstract The increasing availability of modern digital soil databases provides an opportunity to integrate these data into land surface models (LSMs), such as Noah‐MP, for a more realistic representation of soil in estimating mass and energy flux at the land‐atmosphere boundary. Noah‐MP uses a default soil parameter table and a texturally uniform vertical soil profile to a depth of 2 m. Previous research has revised this soil parameter table, and 95% of the values investigated were suggested to be replaced using updated pedotransfer functions and new datasets. In addition to updated parameters, most LSMs do not consider vertical heterogeneity in soil texture despite the widespread distribution of these soils globally. This research assessed both (1) revisions to the soil parameter table and (2) vertical soil heterogeneity, including the presence of bedrock, on simulated water and energy fluxes. At three locations across Texas, plant‐available water (PAW) estimates from Noah‐MP simulations were evaluated using in situ measurements. Due to the lack of water and energy flux data, soil water content values simulated by Noah‐MP were compared with the output from another well‐established model, Root Zone Water Quality Model 2 (RZWQM2). Results showed improving representation of soil improved Nash–Sutcliff efficiency coefficient, model bias, and root mean square difference of Noah‐MP simulated PAW when compared with measured PAW and RZWQM2 simulated PAW. A maximum difference in annual evapotranspiration of 150 mm between simulations was observed. These results demonstrate the need for better accounting of soil knowledge in LSMs for modeling mass and energy exchange at the land‐atmosphere boundaries.
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spelling doaj-art-42ff69386f2a48839c30e8e25a4bd4d42025-08-20T03:40:54ZengWileyAgrosystems, Geosciences & Environment2639-66962025-03-0181n/an/a10.1002/agg2.70048Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soilsYohannes Tadesse Yimam0Haly L. Neely1Cristine L. S. Morgan2Andrea Kishné3Jonathan Gross4David Gochis5Formation Environmental, LLC Sacramento California USADepartment of Crop and Soil Sciences Washington State University Pullman Washington USASoil Health Institute Morrisville North Carolina USASmart Grid Center Texas A&M Engineering Experiment Station College Station Texas USADepartment of Soil and Crop Sciences, Texas A&M AgriLife Research College Station Texas USANational Center for Atmospheric Research Boulder Colorado USAAbstract The increasing availability of modern digital soil databases provides an opportunity to integrate these data into land surface models (LSMs), such as Noah‐MP, for a more realistic representation of soil in estimating mass and energy flux at the land‐atmosphere boundary. Noah‐MP uses a default soil parameter table and a texturally uniform vertical soil profile to a depth of 2 m. Previous research has revised this soil parameter table, and 95% of the values investigated were suggested to be replaced using updated pedotransfer functions and new datasets. In addition to updated parameters, most LSMs do not consider vertical heterogeneity in soil texture despite the widespread distribution of these soils globally. This research assessed both (1) revisions to the soil parameter table and (2) vertical soil heterogeneity, including the presence of bedrock, on simulated water and energy fluxes. At three locations across Texas, plant‐available water (PAW) estimates from Noah‐MP simulations were evaluated using in situ measurements. Due to the lack of water and energy flux data, soil water content values simulated by Noah‐MP were compared with the output from another well‐established model, Root Zone Water Quality Model 2 (RZWQM2). Results showed improving representation of soil improved Nash–Sutcliff efficiency coefficient, model bias, and root mean square difference of Noah‐MP simulated PAW when compared with measured PAW and RZWQM2 simulated PAW. A maximum difference in annual evapotranspiration of 150 mm between simulations was observed. These results demonstrate the need for better accounting of soil knowledge in LSMs for modeling mass and energy exchange at the land‐atmosphere boundaries.https://doi.org/10.1002/agg2.70048
spellingShingle Yohannes Tadesse Yimam
Haly L. Neely
Cristine L. S. Morgan
Andrea Kishné
Jonathan Gross
David Gochis
Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
Agrosystems, Geosciences & Environment
title Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
title_full Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
title_fullStr Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
title_full_unstemmed Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
title_short Evaluation of Noah‐MP performance with available soil information for vertically heterogenous soils
title_sort evaluation of noah mp performance with available soil information for vertically heterogenous soils
url https://doi.org/10.1002/agg2.70048
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AT andreakishne evaluationofnoahmpperformancewithavailablesoilinformationforverticallyheterogenoussoils
AT jonathangross evaluationofnoahmpperformancewithavailablesoilinformationforverticallyheterogenoussoils
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